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IBM AI Fundamentals: Understand AI Project Team Roles

Learn about the responsibilities of different AI project teams, including the model team who develops the algorithms used to train AI systems. Prepare for the IBM AI Fundamentals certification exam.

Table of Contents

Question

Rose is working as an auditor on a large AI project. In an effort to provide transparency, she is creating a framework to map key details of the system to the people who can provide that information.

Which of the following teams is responsible for the algorithms used to train the AI?

A. Design team
B. Model team
C. Deployment team
D. Data team

Answer

B. Model team

Explanation

The Model team includes Data Scientists, Model Validators, AI Model Leads, and the Chief Risk Officer. This team is responsible for the algorithms used for training, the model parameters, and the model performance.

In the context of an AI project, the team responsible for the algorithms used to train the AI is typically the model team.

The Model team, often composed of data scientists and machine learning engineers, is in charge of developing and refining the algorithms that will be used to train the AI system. They work on selecting the appropriate models, tuning hyperparameters, and ensuring that the algorithms perform effectively on the given tasks.

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